Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Discrete Control Design
2. Subject name in Hungarian Diszkrét irányítások tervezése
3. Code BMEKOKAM658 4. Evaluation type exam grade 5. Credits 4
6. Weekly contact hours 2 (10) Lecture 0 (0) Practice 2 (11) Lab
7. Curriculum
Vehicle Engineering MSc (J)
8. Role
Specialization (sp) at Vehicle Engineering MSc (J)
9. Working hours for fulfilling the requirements of the subject 120
Contact hours 56 Preparation for seminars 18 Homework 20
Reading written materials 8 Midterm preparation 8 Exam preparation 10
10. Department Department of Control for Transportation and Vehicle Systems
11. Responsible lecturer Dr. Gáspár Péter
12. Lecturers Dr. Gáspár Péter, Dr. Bécsi Tamás
13. Prerequisites  
14. Description of lectures
System Theory, Theory of Linear Time-Variable Dynamic Discrete Time Systems. Z-transformation. Dynamics and mathematical description of discrete time systems. Design of P, PI and PID controllers. State feedback. Designing observers.
In the second half of the subject, high-level control planning and optimization techniques are described. Soft Computing Methods, Fuzzy Theory, Genetic Algorithms, Optimization.
15. Description of practices
 
16. Description of labortory practices
Implementation of the methods learned during the lectures, by using MATLAB, Simulink and embedded platforms
17. Learning outcomes
A. Knowledge
  • is familiar with the theory of describing discrete time linear systems
  • knows the basic discrete regulatory design and monitoring design principles
  • knows the basics of Fuzzy systems
  • knows the basics of genetic algorithms
B. Skills
  • is able to design and analyze discrete linear controllers
  • is able to apply basic soft-computing techniques
C. Attitudes
  • is interested in modern IT solutions
  • capable of algorithmic thinking that can be applied in other areas
D. Autonomy and Responsibility
  • in addition to known environments, it is able to acquire other unknown program languages and development tools in autodidact
18. Requirements, way to determine a grade (obtain a signature)
Two midsemester exams, which are the prerequisite of the final exam. The final grade depends only on the final exam.
19. Opportunity for repeat/retake and delayed completion
Both midterm exams can be retried once.
20. Learning materials
Lecture Notes
Effective date 10 October 2019 This Subject Datasheet is valid for 2021/2022 semester I